Training & testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"

Name: Training & testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"
Creator: Institute of Structural Engineering, Department of Civil, Environmental & Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland; Basque Center for Applied Mathematics, Bilbao, Spain; Ikerbasque, Bilbao, Spain; University of the Basque Country Leioa, Spain; TECNALIA, Basque Research and Technology Alliance, Parque Científico y Tecnológico de Bizkaia, Astondo bidea, Edificio 700, E- 48160 Derio, Spain
Published: 2025-04-24T00:00:00+08:00

Zenodo2025-04-24 更新2026-04-07 收录

海上风电结构健康监测

系泊系统故障诊断

数据链接：

https://zenodo.org/doi/10.5281/zenodo.15274944 数据链接链接失效反馈

官方服务：

资源简介：

6-DOF Dynamic response of the DeepCWind OC4 semi-submersible platform, simulated in OpenFAST. Statistical measures have been obtained for each DOF, including means, standard deviations, top two peak frequencies, and zero-th momentum. Two forms of mooring line failure have been simulated: biological fouling and anchoring.

提供机构：

Institute of Structural Engineering, Department of Civil, Environmental & Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland; Basque Center for Applied Mathematics, Bilbao, Spain; Ikerbasque, Bilbao, Spain; University of the Basque Country Leioa, Spain; TECNALIA, Basque Research and Technology Alliance, Parque Científico y Tecnológico de Bizkaia, Astondo bidea, Edificio 700, E- 48160 Derio, Spain

创建时间：

2025-04-24